Imports work but are not imputed in the first cell on kaggle notebooks platform

[miwojc]

Environment

• Platform: Kaggle Notebooks (https://www.kaggle.com/code)
• Operating System: Ubuntu 18.04.5 LTS
• Python Version: 3.7.10
• How did you install pyforest: !pip install upgrade pyforest (and restart notebook)
• Python packages:

  absl-py==0.12.0
  affine==2.3.0
  aiobotocore==1.3.1
  aiohttp @ file:///home/conda/feedstock_root/build_artifacts/aiohttp_1623682242266/work
  aiohttp-cors==0.7.0
  aioitertools==0.7.1
  aioredis==1.3.1
  albumentations==1.0.1
  alembic==1.6.5
  allennlp==2.5.0
  altair==4.1.0
  annoy==1.17.0
  ansiwrap==0.8.4
  anyio @ file:///home/conda/feedstock_root/build_artifacts/anyio_1624037809245/work/dist
  appdirs @ file:///home/conda/feedstock_root/build_artifacts/appdirs_1603108395799/work
  argon2-cffi @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi_1610522577486/work
  arrow @ file:///home/conda/feedstock_root/build_artifacts/arrow_1620325441783/work
  arviz==0.11.2
  asn1crypto @ file:///home/conda/feedstock_root/build_artifacts/asn1crypto_1595949944546/work
  astunparse==1.6.3
  async-generator==1.10
  async-timeout==3.0.1
  attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1620387926260/work
  audioread==2.1.9
  autobahn==21.3.1
  autocfg==0.0.8
  Automat==20.2.0
  Babel==2.9.1
  backcall @ file:///home/conda/feedstock_root/build_artifacts/backcall_1592338393461/work
  backports.csv==1.0.7
  backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1618230623929/work
  basemap @ file:///home/conda/feedstock_root/build_artifacts/basemap_1602682523538/work
  bayesian-optimization==1.2.0
  bayespy==0.5.22
  beatrix-jupyterlab @ file:///tmp/beatrix_jupyterlab-latest.tar.gz
  beautifulsoup4==4.9.3
  binaryornot==0.4.4
  biopython==1.79
  black @ file:///home/conda/feedstock_root/build_artifacts/black-recipe_1622561163993/work
  bleach @ file:///home/conda/feedstock_root/build_artifacts/bleach_1612213472466/work
  blessings==1.7
  blinker==1.4
  blis==0.7.4
  bokeh==2.3.2
  Boruta==0.3
  boto3==1.17.105
  botocore==1.20.105
  Bottleneck @ file:///home/conda/feedstock_root/build_artifacts/bottleneck_1611195599064/work
  -e git+https://github.com/SohierDane/BigQuery_Helper@8615a7f6c1663e7f2d48aa2b32c2dbcb600a440f#egg=bq_helper
  bqplot==0.12.29
  branca==0.4.2
  brewer2mpl==1.4.1
  brotlipy==0.7.0
  cachetools @ file:///home/conda/feedstock_root/build_artifacts/cachetools_1619593780156/work
  caip-notebooks-serverextension @ file:///opt/conda/conda-bld/dlenv-base_1624064777121/work/packages/server_extension
  Cartopy @ file:///home/conda/feedstock_root/build_artifacts/cartopy_1608577584581/work
  catalogue==1.0.0
  catalyst==21.6
  catboost==0.26
  category-encoders==2.2.2
  certifi==2021.5.30
  cesium==0.9.12
  cffi @ file:///home/conda/feedstock_root/build_artifacts/cffi_1613413867554/work
  cftime==1.5.0
  chardet @ file:///home/conda/feedstock_root/build_artifacts/chardet_1610093487176/work
  checklist==0.0.11
  cheroot==8.5.2
  CherryPy==18.6.1
  cleverhans==3.1.0
  click==7.1.2
  click-plugins==1.1.1
  cliff==3.8.0
  cligj @ file:///home/conda/feedstock_root/build_artifacts/cligj_1622246659049/work
  cloud-tpu-client==0.10
  cloudpickle @ file:///home/conda/feedstock_root/build_artifacts/cloudpickle_1598400192773/work
  cmaes==0.8.2
  cmd2==2.1.2
  cmdstanpy==0.9.5
  cmudict==0.4.5
  colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1602866480661/work
  colorcet==2.0.6
  colorlog==5.0.1
  colorlover==0.3.0
  conda==4.9.2
  conda-package-handling @ file:///home/conda/feedstock_root/build_artifacts/conda-package-handling_1618231393684/work
  configparser==5.0.2
  confuse @ file:///home/conda/feedstock_root/build_artifacts/confuse_1605988134315/work
  constantly==15.1.0
  contextily==1.1.0
  contextlib2==21.6.0
  convertdate==2.3.2
  cookiecutter==1.7.0
  cryptography @ file:///home/conda/feedstock_root/build_artifacts/cryptography_1616851478755/work
  cufflinks==0.17.3
  CVXcanon==0.1.2
  cvxpy==1.1.7
  cycler==0.10.0
  cymem==2.0.5
  cysignals==1.10.3
  Cython==0.29.23
  cytoolz==0.11.0
  dask==2021.6.2
  dataclasses==0.6
  datashader==0.13.0
  datashape==0.5.2
  datatable==1.0.0
  deap==1.3.1
  decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1621187651333/work
  deepdish==0.3.6
  defusedxml @ file:///home/conda/feedstock_root/build_artifacts/defusedxml_1615232257335/work
  Delorean==1.0.0
  Deprecated @ file:///home/conda/feedstock_root/build_artifacts/deprecated_1618254172504/work
  descartes==1.1.0
  dill==0.3.4
  dipy==1.4.1
  distributed==2021.6.2
  dlib==19.22.0
  dm-tree==0.1.6
  docker @ file:///home/conda/feedstock_root/build_artifacts/docker-py_1617755742617/work
  docker-pycreds==0.4.0
  docutils==0.17.1
  earthengine-api==0.1.272
  easydev==0.11.1
  easyocr==1.3.2
  ecos==2.0.7.post1
  eli5==0.11.0
  emoji==1.2.0
  en-core-web-lg @ https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-2.3.1/en_core_web_lg-2.3.1.tar.gz
  en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.3.1/en_core_web_sm-2.3.1.tar.gz
  entrypoints @ file:///home/conda/feedstock_root/build_artifacts/entrypoints_1605121927639/work/dist/entrypoints-0.3-py2.py3-none-any.whl
  ephem==4.0.0.2
  essentia==2.1b6.dev374
  fancyimpute==0.5.5
  fastai==2.2.7
  fastcore==1.3.20
  fastprogress==1.0.0
  fasttext==0.9.2
  fbpca==1.0
  fbprophet==0.7.1
  feather-format==0.4.1
  featuretools==0.25.0
  feedparser==6.0.8
  filelock==3.0.12
  Fiona==1.8.18
  fitter==1.3.0
  flake8==3.9.2
  flashtext==2.7
  Flask==2.0.1
  flatbuffers==1.12
  folium==0.12.1
  fsspec==2021.6.1
  funcy==1.16
  fury==0.7.0
  future @ file:///home/conda/feedstock_root/build_artifacts/future_1610147336439/work
  fuzzywuzzy==0.18.0
  gast==0.3.3
  gatspy==0.3
  gcsfs @ file:///home/conda/feedstock_root/build_artifacts/gcsfs_1623161271836/work
  GDAL==3.2.1
  gensim==4.0.1
  geographiclib==1.52
  Geohash==1.0
  geojson==2.5.0
  geopandas @ file:///home/conda/feedstock_root/build_artifacts/geopandas_1623249625470/work
  geoplot==0.4.3
  geopy==2.1.0
  geoviews==1.9.1
  ggplot @ https://github.com/hbasria/ggpy/archive/0.11.5.zip
  gitdb @ file:///home/conda/feedstock_root/build_artifacts/gitdb_1616781027402/work
  GitPython @ file:///home/conda/feedstock_root/build_artifacts/gitpython_1623994295351/work
  gluoncv==0.10.3
  gluonnlp==0.10.0
  google-api-core @ file:///home/conda/feedstock_root/build_artifacts/google-api-core-split_1623889342596/work
  google-api-python-client==1.8.0
  google-auth @ file:///home/conda/feedstock_root/build_artifacts/google-auth_1623897959686/work
  google-auth-httplib2 @ file:///home/conda/feedstock_root/build_artifacts/google-auth-httplib2_1617387471894/work
  google-auth-oauthlib @ file:///home/conda/feedstock_root/build_artifacts/google-auth-oauthlib_1618925959946/work
  google-cloud-aiplatform @ git+https://github.com/googleapis/python-aiplatform.git@4ed7a50fef58d694ddb29d4240965d44e383da2b
  google-cloud-appengine-logging==0.1.1
  google-cloud-audit-log==0.1.0
  google-cloud-automl==1.0.1
  google-cloud-bigquery==2.2.0
  google-cloud-bigtable==2.2.0
  google-cloud-core==1.7.0
  google-cloud-dataproc==2.4.0
  google-cloud-datastore==2.1.3
  google-cloud-firestore==2.1.3
  google-cloud-kms==2.3.0
  google-cloud-language==2.1.0
  google-cloud-logging==2.5.0
  google-cloud-monitoring==2.3.0
  google-cloud-pubsub==1.7.0
  google-cloud-scheduler==2.2.0
  google-cloud-spanner==3.5.0
  google-cloud-speech==2.4.0
  google-cloud-storage==1.38.0
  google-cloud-tasks==2.3.0
  google-cloud-translate==3.2.0
  google-cloud-videointelligence==2.2.0
  google-cloud-vision==2.3.2
  google-crc32c==1.1.2
  google-pasta==0.2.0
  google-resumable-media==1.3.1
  googleapis-common-protos @ file:///home/conda/feedstock_root/build_artifacts/googleapis-common-protos-feedstock_1616710767141/work
  gplearn==0.4.1
  gpustat==0.6.0
  gpxpy==1.4.2
  graphviz==0.8.4
  greenlet @ file:///home/conda/feedstock_root/build_artifacts/greenlet_1620327499468/work
  grpc-google-iam-v1==0.12.3
  grpcio==1.32.0
  grpcio-gcp @ file:///home/conda/feedstock_root/build_artifacts/grpcio-gcp_1604414757985/work
  gym==0.18.3
  h2o==3.32.1.3
  h5py==2.10.0
  haversine==2.3.1
  HeapDict==1.0.1
  hep-ml==0.6.2
  hijri-converter==2.1.3
  hiredis==2.0.0
  hmmlearn==0.2.5
  holidays==0.11.1
  holoviews==1.14.4
  hpsklearn==0.1.0
  html5lib==1.1
  htmlmin==0.1.12
  httplib2 @ file:///home/conda/feedstock_root/build_artifacts/httplib2_1617134439639/work
  httplib2shim==0.0.3
  huggingface-hub==0.0.8
  humanize==3.10.0
  hunspell==0.5.5
  husl==4.0.3
  hyperlink==21.0.0
  hyperopt==0.2.5
  hypertools==0.7.0
  hypothesis==6.14.1
  ibis-framework==1.4.0
  idna @ file:///tmp/build/80754af9/idna_1593446292537/work
  imagecodecs==2021.6.8
  ImageHash @ file:///home/conda/feedstock_root/build_artifacts/imagehash_1605809872811/work
  imageio==2.9.0
  imbalanced-learn==0.8.0
  imgaug==0.4.0
  implicit==0.4.4
  importlib-metadata==3.4.0
  incremental==21.3.0
  iniconfig==1.1.1
  ipykernel @ file:///home/conda/feedstock_root/build_artifacts/ipykernel_1620912939357/work/dist/ipykernel-5.5.5-py3-none-any.whl
  ipympl==0.7.0
  ipython @ file:///home/conda/feedstock_root/build_artifacts/ipython_1622679237324/work
  ipython-genutils==0.2.0
  ipython-sql @ file:///home/conda/feedstock_root/build_artifacts/ipython-sql_1602667927030/work
  ipywidgets @ file:///home/conda/feedstock_root/build_artifacts/ipywidgets_1609995587151/work
  iso-639==0.4.5
  iso3166==1.0.1
  isoweek==1.3.3
  itsdangerous==2.0.1
  Janome==0.4.1
  jaraco.classes==3.2.1
  jaraco.collections==3.3.0
  jaraco.functools==3.3.0
  jaraco.text==3.5.0
  jax==0.2.12
  jaxlib==0.1.64
  jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1610146791823/work
  jieba==0.42.1
  Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1621419064915/work
  jinja2-time==0.2.0
  jmespath==0.10.0
  joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1612898609989/work
  json5 @ file:///home/conda/feedstock_root/build_artifacts/json5_1600692310011/work
  jsonnet==0.17.0
  jsonschema @ file:///home/conda/feedstock_root/build_artifacts/jsonschema_1614815863336/work
  jupyter==1.0.0
  jupyter-client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1615693636836/work
  jupyter-console==6.4.0
  jupyter-core @ file:///home/conda/feedstock_root/build_artifacts/jupyter_core_1612125257337/work
  jupyter-http-over-ws==0.0.8
  jupyter-server @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_1621649383518/work
  jupyter-server-mathjax @ file:///home/conda/feedstock_root/build_artifacts/jupyter-server-mathjax_1622646097887/work
  jupyterlab==1.2.16
  jupyterlab-git @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab-git_1598805204722/work
  jupyterlab-pygments @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_pygments_1601375948261/work
  jupyterlab-server @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_server_1593951277307/work
  jupyterlab-widgets @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_widgets_1609173350931/work
  kaggle==1.5.12
  kaggle-environments==1.7.11
  Keras==2.4.3
  Keras-Preprocessing==1.1.2
  keras-tuner==1.0.3
  kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1610099773791/work
  kmapper==2.0.1
  kmodes==0.11.0
  knnimpute==0.1.0
  korean-lunar-calendar==0.2.1
  kornia==0.5.5
  kt-legacy==1.0.3
  kubernetes @ file:///home/conda/feedstock_root/build_artifacts/python-kubernetes_1620952647333/work
  langid==1.1.6
  learntools @ git+https://github.com/Kaggle/learntools@68d31a9916e8ecbf6ff8637611ac7c20859672bd
  leven==1.0.4
  libcst==0.3.19
  librosa==0.8.1
  lightfm==1.16
  lightgbm==3.2.1
  lime==0.2.0.1
  line-profiler==3.3.0
  llvmlite==0.36.0
  lmdb==1.2.1
  lml==0.1.0
  locket==0.2.1
  LunarCalendar==0.0.9
  lxml==4.6.3
  Mako==1.1.4
  mapclassify @ file:///home/conda/feedstock_root/build_artifacts/mapclassify_1608686039411/work
  marisa-trie==0.7.5
  Markdown @ file:///home/conda/feedstock_root/build_artifacts/markdown_1614595805172/work
  markovify==0.9.0
  MarkupSafe @ file:///home/conda/feedstock_root/build_artifacts/markupsafe_1621455667184/work
  matplotlib==3.4.2
  matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1618935594181/work
  matplotlib-venn==0.11.6
  matrixprofile==1.1.10
  mccabe==0.6.1
  memory-profiler==0.58.0
  mercantile==1.2.1
  missingno==0.4.2
  mistune @ file:///home/conda/feedstock_root/build_artifacts/mistune_1610112870915/work
  mizani==0.7.3
  ml-metrics==0.1.4
  mlcrate==0.2.0
  mlens==0.2.3
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  mmh3==3.0.0
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  mock==4.0.3
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  mpmath==1.2.1
  msgpack==1.0.2
  msgpack-numpy==0.4.7.1
  multidict @ file:///home/conda/feedstock_root/build_artifacts/multidict_1610319002430/work
  multimethod @ file:///home/conda/feedstock_root/build_artifacts/multimethod_1603129052241/work
  multipledispatch==0.6.0
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  murmurhash==1.0.5
  mxnet==1.8.0.post0
  mypy-extensions @ file:///home/conda/feedstock_root/build_artifacts/mypy_extensions_1610127163566/work
  nb-conda @ file:///home/conda/feedstock_root/build_artifacts/nb_conda_1611345550379/work
  nb-conda-kernels @ file:///home/conda/feedstock_root/build_artifacts/nb_conda_kernels_1606762466752/work
  nbclient @ file:///home/conda/feedstock_root/build_artifacts/nbclient_1614336084111/work
  nbconvert @ file:///home/conda/feedstock_root/build_artifacts/nbconvert_1605401831777/work
  nbdime @ file:///home/conda/feedstock_root/build_artifacts/nbdime_1621970816386/work
  nbformat @ file:///home/conda/feedstock_root/build_artifacts/nbformat_1617383142101/work
  nest-asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1617163391303/work
  netCDF4==1.5.7
  networkx @ file:///home/conda/feedstock_root/build_artifacts/networkx_1598210780226/work
  nibabel==3.2.1
  nilearn==0.8.0
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  notebook @ file:///home/conda/feedstock_root/build_artifacts/notebook_1621259862661/work
  notebook-executor @ file:///opt/conda/conda-bld/dlenv-base_1624064777121/work/packages/notebook_executor
  numba @ file:///home/conda/feedstock_root/build_artifacts/numba_1623568548143/work
  numexpr==2.7.3
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  oauthlib @ file:///home/conda/feedstock_root/build_artifacts/oauthlib_1622563202229/work
  odfpy==1.4.1
  olefile @ file:///home/conda/feedstock_root/build_artifacts/olefile_1602866521163/work
  onnx==1.8.1
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  opencv-python-headless==4.5.2.54
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  packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1612459636436/work
  palettable==3.3.0
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  pandas==1.2.4
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  pandas-profiling @ file:///home/conda/feedstock_root/build_artifacts/pandas-profiling_1620781969337/work
  pandas-summary==0.0.7
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  panel==0.11.3
  papermill @ file:///home/conda/feedstock_root/build_artifacts/papermill_1615479738199/work
  param==1.11.1
  parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1617148930513/work
  partd==1.2.0
  path==16.0.0
  path.py==12.5.0
  pathos==0.2.8
  pathspec @ file:///home/conda/feedstock_root/build_artifacts/pathspec_1605120834673/work
  pathtools==0.1.2
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  patternfork-nosql==3.6
  pbr==5.6.0
  pdf2image==1.16.0
  pdfminer.six==20201018
  PDPbox @ git+https://github.com/SauceCat/PDPbox@b022a0aabcc6dbe2440244bf48d08fbb6ecdaf2d
  pexpect @ file:///home/conda/feedstock_root/build_artifacts/pexpect_1602535608087/work
  phik @ file:///home/conda/feedstock_root/build_artifacts/phik_1615724006677/work
  pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work
  Pillow @ file:///home/conda/feedstock_root/build_artifacts/pillow_1621287993571/work
  plac==1.1.3
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  preshed==3.0.5
  prettytable @ file:///home/conda/feedstock_root/build_artifacts/prettytable_1614725168556/work
  prometheus-client @ file:///home/conda/feedstock_root/build_artifacts/prometheus_client_1622586138406/work
  promise==2.3
  prompt-toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1623977816122/work
  pronouncing==0.2.0
  proto-plus==1.18.1
  protobuf==3.17.3
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  ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
  pudb==2021.1
  py==1.10.0
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  pycosat @ file:///home/conda/feedstock_root/build_artifacts/pycosat_1610094791171/work
  pycountry==20.7.3
  pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
  pycrypto==2.6.1
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  pydantic @ file:///home/conda/feedstock_root/build_artifacts/pydantic_1620819958857/work
  pydash==5.0.1
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  pyforest==1.1.0
  pyglet==1.5.15
  Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1620245170812/work
  PyJWT @ file:///home/conda/feedstock_root/build_artifacts/pyjwt_1619620644068/work
  pykalman==0.9.5
  pyLDAvis==3.3.1
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  pymongo==3.11.4
  Pympler==0.9
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  pyocr==0.8
  pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1608055815057/work
  pyparsing==2.4.7
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  PyPrind==2.11.3
  pyproj @ file:///home/conda/feedstock_root/build_artifacts/pyproj_1602664259410/work
  PyQt5==5.12.3
  PyQt5-sip==4.19.18
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  PyQtWebEngine==5.12.1
  pyrsistent @ file:///home/conda/feedstock_root/build_artifacts/pyrsistent_1610146801408/work
  pysal==2.1.0
  pyshp @ file:///home/conda/feedstock_root/build_artifacts/pyshp_1610646860606/work
  PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1610291444829/work
  pystan==2.19.1.1
  pytesseract==0.3.8
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  pytext-nlp==0.1.2
  python-bidi==0.4.2
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  python-igraph @ file:///home/conda/feedstock_root/build_artifacts/python-igraph_1625223698267/work
  python-Levenshtein==0.12.2
  python-louvain==0.15
  python-slugify @ file:///home/conda/feedstock_root/build_artifacts/python-slugify_1620267765676/work
  pytorch-ignite==0.4.5
  pytorch-lightning==1.3.8
  pytz @ file:///home/conda/feedstock_root/build_artifacts/pytz_1612179539967/work
  pyu2f @ file:///home/conda/feedstock_root/build_artifacts/pyu2f_1604248910016/work
  PyUpSet==0.1.1.post7
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  PyWavelets @ file:///home/conda/feedstock_root/build_artifacts/pywavelets_1607290802651/work
  PyYAML==5.4.1
  pyzmq @ file:///home/conda/feedstock_root/build_artifacts/pyzmq_1622038448462/work
  qdldl==0.1.5.post0
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  QtPy==1.9.0
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  regex @ file:///home/conda/feedstock_root/build_artifacts/regex_1617644420360/work
  requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1608156231189/work
  requests-oauthlib @ file:///home/conda/feedstock_root/build_artifacts/requests-oauthlib_1595492159598/work
  resampy==0.2.2
  retrying==1.3.3
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  rsa @ file:///home/conda/feedstock_root/build_artifacts/rsa_1614171254180/work
  Rtree @ file:///home/conda/feedstock_root/build_artifacts/rtree_1610147121172/work
  ruamel-yaml-conda @ file:///home/conda/feedstock_root/build_artifacts/ruamel_yaml_1611943443937/work
  s2sphere==0.2.5
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  scipy @ file:///home/conda/feedstock_root/build_artifacts/scipy_1619561915310/work
  scs==2.1.4
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  Shapely @ file:///home/conda/feedstock_root/build_artifacts/shapely_1611317083224/work
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  sklearn-contrib-py-earth @ git+git://github.com/scikit-learn-contrib/py-earth.git@dde5f899255411a7b9cbbabf93a817eff4b02e5e
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  smmap @ file:///home/conda/feedstock_root/build_artifacts/smmap_1611376390914/work
  sniffio @ file:///home/conda/feedstock_root/build_artifacts/sniffio_1610318316464/work
  snuggs==1.4.7
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  SQLAlchemy @ file:///home/conda/feedstock_root/build_artifacts/sqlalchemy_1623353958511/work
  sqlparse @ file:///home/conda/feedstock_root/build_artifacts/sqlparse_1602142927465/work
  squarify==0.4.3
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  statsmodels @ file:///home/conda/feedstock_root/build_artifacts/statsmodels_1612273600586/work
  stemming==1.0.1
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  tangled-up-in-unicode @ file:///home/conda/feedstock_root/build_artifacts/tangled-up-in-unicode_1620720635379/work
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  tenacity @ file:///home/conda/feedstock_root/build_artifacts/tenacity_1614801055552/work
  tensorboard==2.4.1
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  terminado @ file:///home/conda/feedstock_root/build_artifacts/terminado_1623365324314/work
  testpath @ file:///home/conda/feedstock_root/build_artifacts/testpath_1621261527237/work
  text-unidecode==1.3
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  tornado @ file:///home/conda/feedstock_root/build_artifacts/tornado_1610094704591/work
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  traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1602771532708/work
  traittypes==0.2.1
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  typed-ast @ file:///home/conda/feedstock_root/build_artifacts/typed-ast_1618337592858/work
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  Unidecode @ file:///home/conda/feedstock_root/build_artifacts/unidecode_1612533191922/work
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  urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1622056799390/work
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  visions @ file:///home/conda/feedstock_root/build_artifacts/visions_1612743227238/work
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  wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1600965781394/work
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  websocket-client @ file:///home/conda/feedstock_root/build_artifacts/websocket-client_1610127652206/work
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  widgetsnbextension @ file:///home/conda/feedstock_root/build_artifacts/widgetsnbextension_1605475530234/work
  Wordbatch==1.4.8
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  wrapt @ file:///home/conda/feedstock_root/build_artifacts/wrapt_1610094880759/work
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  zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1614945704755/work
  zope.interface==5.4.0

Description of Issue

• What did you expect to happen? Imports work but are not inserted in the first cell
• What happened instead? No visibility that something was imported

Reproduction Steps

1. create new kaggle notebook
2. install pyforest with !pip install upgrade pyforest
3. restart notebook
4. run np.sum([1, 2, 3])

What steps have you taken to resolve this already?

searched github issues, there is one closed by i still get the same issue https://github.com/8080labs/pyforest/issues/31

Anything else?

Thank you for your help!

[miwojc]

Now, after reading the documentation, which i should have done in the first place i understand that pyforest is intended for use with Jupyter Notebook or Lab so closing this issue.

[FlorianWetschoreck]

Thank you for handling this issue yourself. You are correct that the code export does not work in Kaggle notebooks (currently) because they do not allow/handle the notebook extension like Jupyter does.

As an alternative to the automatic code export, you can manually call pyforest.active_imports() to get the code that would be needed for the current imports.